Results 51 to 60 of about 282,648 (277)
Coarse entropy of metric spaces
AbstractCoarse geometry studies metric spaces on the large scale. The recently introduced notion of coarse entropy is a tool to study dynamics from the coarse point of view. We prove that all isometries of a given metric space have the same coarse entropy and that this value is a coarse invariant.
William Geller +2 more
openaire +4 more sources
ABSTRACT Objective To compare the efficacy and safety of roxarestat versus recombinant human erythropoietin (rhEPO) in the management of renal anemia in patients undergoing maintenance hemodialysis. Methods This was a prospective, open‐label, randomized controlled trial.
Lingling Chen, Junjie Zhu, Qiaonan Ge
wiley +1 more source
Long-range interactions, doubling measures and Tsallis entropy
We present a path toward determining the statistical origin of the thermodynamic limit for systems with long-range interactions. We assume throughout that the systems under consideration have thermodynamic properties given by the Tsallis entropy. We rely
Kalogeropoulos, Nikos
core +1 more source
In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka +11 more
wiley +1 more source
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
Relative Distribution Entropy Loss Function in CNN Image Retrieval
Convolutional neural networks (CNN) is the most mainstream solution in the field of image retrieval. Deep metric learning is introduced into the field of image retrieval, focusing on the construction of pair-based loss function.
Liu Pingping +4 more
doaj +1 more source
The fuzzy-entropy-based complexity metric approach has achieved fruitful results in bearing fault diagnosis. However, traditional hierarchical fuzzy entropy (HFE) and multiscale fuzzy entropy (MFE) only excavate bearing fault information on different ...
Xiaoan Yan, Yadong Xu, Minping Jia
doaj +1 more source
Go with the Flow, Average Holographic Universe
Gravity is a macroscopic manifestation of a microscopic quantum theory of space-time, just as the theories of elasticity and hydrodynamics are the macroscopic manifestation of the underlying quantum theory of atoms.
Smoot, George F.
core +3 more sources
Entropy formulae of conditional entropy in mean metrics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Huang, Ping, Chen, Ercai, Wang, Chenwei
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The metric entropy of diffeomorphisms [PDF]
For a diffeomorphism f of a closed Riemannian manifold M equipped with an f-invariant Borel probability measure m, the relationship between the entropy of f, \(h_ m(f)\), and geometric properties of f and m is investigated. The main results are the characterization of measures satisfying \textit{Ya. B. Pesin}'s entropy formula [Usp. Mat.
Ledrappier, F., Young, L.-S.
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